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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Hy4 previewTencentRemove
  2. Gemma 4 26B A4B (Free)GoogleRemove
  3. GPT-6 Astra ProOpenAIRemove
hy4-preview vs gemma-4-26b-a4b-it:free vs gpt-6-astra-pro
AttributeHy4 previewhy4-previewGemma 4 26B A4B (Free)gemma-4-26b-a4b-it:freeGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$0.834 / 1M$0 / 1M$10.00 / 1M
Output$2.50 / 1M$0 / 1M$50.00 / 1M
Cache Write (5m)$0.834 / 1M$10.00 / 1M
Cache Write (1h)$0.834 / 1M$10.00 / 1M
Cache Read$0.834 / 1M$0 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M
Cache Write$0 / 1M
Context
Max context1M262.1K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderTencentGoogleOpenAI
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released
Description
SummaryTencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind, featuring 25.2B total parameters with only 3.8B activated per token—delivering near 31B-class quality at a fraction of the compute cost. It supports multimodal inputs including text, images, and video (up to 60s at 1fps). The model includes a 256K token context window, native function calling, configurable thinking/reasoning modes, and structured output support. Released under the Apache 2.0 license, it is well suited for efficient, production-ready multimodal and agentic applications.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.